Long-Running Agents and Checkpoints (EXPLAINED)
Hard AI Agents interview question on long-running agents and checkpoints — architecture, trade-offs, eval, and production patterns.
TL;DR — Quick Answer
Persist graph state after each node (LangGraph checkpoints, Temporal). Enable resume after crashes, human interrupts, and multi-hour jobs without restarting from scratch. Version checkpoint schema for migrations.
The Interview Question
Explain long-running agents and checkpoints. How would you apply this when building production AI agents? Cover architecture, safety, and evaluation.
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AgentsCheckpointsLong-Running